| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| what is normalization of deviation | 0.16 | 0.8 | 5513 | 45 | 34 |
| what | 0.44 | 0.3 | 6494 | 48 | 4 |
| is | 1.11 | 0.2 | 9341 | 38 | 2 |
| normalization | 1.87 | 0.3 | 641 | 70 | 13 |
| of | 0.02 | 0.4 | 8842 | 28 | 2 |
| deviation | 1.68 | 0.1 | 4791 | 97 | 9 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| what is normalization of deviance | 1.67 | 0.7 | 11 | 58 |
| normalization of deviation | 1.15 | 0.4 | 6196 | 31 |
| standard deviation normalization | 0.22 | 0.5 | 9902 | 37 |
| z score normalization standard deviation | 1.78 | 1 | 696 | 64 |
| image normalization mean standard deviation | 2 | 0.8 | 2724 | 37 |
| normalization of deviation safety | 0.57 | 0.2 | 4406 | 64 |
| normalization of deviation nasa | 1.55 | 0.5 | 3512 | 63 |
| normalization of deviation theory | 1.94 | 0.7 | 7349 | 61 |
| normalization of deviation examples | 1.08 | 0.8 | 8973 | 75 |
| normalization of deviation csb | 0.8 | 0.5 | 5659 | 36 |
| normalization of deviation ppt | 0.2 | 0.2 | 2095 | 15 |
| normalization of deviance | 0.2 | 0.9 | 9291 | 17 |
| normalization of deviance nasa | 0.12 | 0.3 | 3316 | 50 |
| mike mullane normalization of deviance | 1.96 | 0.9 | 7721 | 87 |
| normalization of deviance definition | 0.62 | 1 | 1347 | 46 |
| normalization of deviance in the workplace | 0.52 | 0.9 | 8270 | 81 |
| normalization of deviance examples | 0.53 | 0.6 | 6458 | 33 |
| normalization of deviance challenger | 0.85 | 0.9 | 6852 | 79 |
Standard deviation is a number used to tell how measurements for a group are spread out from the average (mean), or expected value. A low standard deviation means that most of the numbers are close to the average. A high standard deviation means that the numbers are more spread out.
What does the number from the standard deviation tell us?Standard deviation is a number used to tell how measurements for a group are spread out from the average (mean or expected value). A low standard deviation means that most of the numbers are close to the average, while a high standard deviation means that the numbers are more spread out.
